Publication detail

3D Face Reconstruction for Forensic Recognition - A Survey

LA CAVA, S. ORR, G. GOLDMANN, T. DRAHANSKÝ, M. MARCIALIS, G.

Original Title

3D Face Reconstruction for Forensic Recognition - A Survey

Type

conference paper

Language

English

Original Abstract

3D face reconstruction algorithms from images and videos are applied to many fields, from plastic surgery to the entertainment sector, thanks to their advantageous features. How- ever, when looking at forensic applications, 3D face reconstruction must observe strict requirements that still make unclear its possible role in bringing evidence to a lawsuit. Shedding some light on this matter is the goal of the present survey, where we start by clarifying the relation between forensic applications and biometrics. To our knowledge, no previous work adopted this relation to make the point on the state of the art. Therefore, we analyzed the achievements of 3D face reconstruction algorithms from surveillance videos and mugshot images and discussed the current obstacles that separate 3D face reconstruction from an active role in forensic applications

Keywords

face, face recognition, 3D face reconstruction

Authors

LA CAVA, S.; ORR, G.; GOLDMANN, T.; DRAHANSKÝ, M.; MARCIALIS, G.

Released

29. 11. 2022

Location

Manhattan, New York

ISBN

978-1-6654-9062-7

Book

2022 26th International Conference on Pattern Recognition (ICPR)

Pages from

930

Pages to

937

Pages count

8

BibTex

@inproceedings{BUT181528,
  author="Simone Maurizio {La Cava} and Giulia {Orrù} and Tomáš {Goldmann} and Martin {Drahanský} and Gian Luca {Marcialis}",
  title="3D Face Reconstruction for Forensic Recognition - A Survey",
  booktitle="2022 26th International Conference on Pattern Recognition (ICPR)",
  year="2022",
  pages="930--937",
  address="Manhattan, New York",
  doi="10.1109/ICPR56361.2022.9956031",
  isbn="978-1-6654-9062-7"
}